How does t-SNE preserves embedding orders?
You just to look at the method of T-SNE. It &quot;computes probabilities $p_{ij}$ that are proportional to the similarity of objects ${x} _{i}$ and ${x} _{j}$&quot;. This means the same as the sentence that you have already quoted:

t-SNE (t-distributed Stochastic Neighbor Embedding) preserves embedding orders via probability distributions, whereas triplet loss works directly on embedded distances.